TY - GEN
T1 - Enhancing Adaptive Event-Triggered Protocols for Multi-Agent Consensus with External Disturbances
AU - Li, Xianwei
AU - Tang, Yang
AU - Zhu, Bing
AU - Li, Shaoyuan
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/12/13
Y1 - 2020/12/13
N2 - This paper studies the design of adaptive event-triggered protocols for consensus of linear multi-agent systems (MASs) with external disturbances. Different from most of the existing results that deal with undirected graphs, this paper addresses directed graphs, specifically graphs that are assumed to be strongly connected. Inspired by a recent development [1], this paper devises novel adaptive event-triggered protocols for linear MASs with all agents subject to external disturbances. Two specific designs of composite triggering conditions are analysed and discussed. Compared with the disturbance-free case, additional constraints need to be introduced to deal with external disturbances and moreover the time-dependent terms are allowed to take any finite functions, rather than a class of L 1 functions.
AB - This paper studies the design of adaptive event-triggered protocols for consensus of linear multi-agent systems (MASs) with external disturbances. Different from most of the existing results that deal with undirected graphs, this paper addresses directed graphs, specifically graphs that are assumed to be strongly connected. Inspired by a recent development [1], this paper devises novel adaptive event-triggered protocols for linear MASs with all agents subject to external disturbances. Two specific designs of composite triggering conditions are analysed and discussed. Compared with the disturbance-free case, additional constraints need to be introduced to deal with external disturbances and moreover the time-dependent terms are allowed to take any finite functions, rather than a class of L 1 functions.
UR - https://www.scopus.com/pages/publications/85100075634
U2 - 10.1109/ICARCV50220.2020.9305462
DO - 10.1109/ICARCV50220.2020.9305462
M3 - 会议稿件
AN - SCOPUS:85100075634
T3 - 16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020
SP - 596
EP - 601
BT - 16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020
Y2 - 13 December 2020 through 15 December 2020
ER -